Enhancing twitter data analysis with simple semantic filtering: Example in tracking influenza-like illnesses

Proceedings - 2012 IEEE 2nd Conference on Healthcare Informatics, Imaging and Systems Biology, HISB 2012

Volumn , Issue , 2012, Pages 62-71

  Doan, Son ^a   Ohno Machado, Lucila ^a   Collier, Nigel ^b  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b NATIONAL INSTITUTE OF INFORMATICS   (Japan)

Author keywords

influenza; natural language processing; social media; Twitter

Indexed keywords

FILTERING METHOD; INFLUENZA; KNOWLEDGE MODEL; NATURAL LANGUAGE PROCESSING; P-VALUES; PEARSON CORRELATION COEFFICIENTS; SEMANTIC FEATURES; SEMANTIC FILTERING; SOCIAL MEDIA; STATE-OF-THE-ART METHODS; TWITTER; USER-GENERATED CONTENT;

CORRELATION METHODS; INFORMATION SCIENCE; NATURAL LANGUAGE PROCESSING SYSTEMS; SEMANTICS;

SOCIAL NETWORKING (ONLINE);

EID: 84871944768     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/HISB.2012.21     Document Type: Conference Paper

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